Remote Sensing-based Yield Curves (RSYC) for Canada’s Forested Ecozones
Yield curves & growth simulators
- function of age & species
- project forest attributes into the future
Approach
Next steps
- Characterize uncertainty associated with yield curves
- Generate curves for different spatial units of interest (e.g., ecodistricts, ecoregions)
- Develop curves for additional attributes (e.g. volume)
- Develop curves using outputs of ensemble models (i.e., multiple AGB inputs)
Questions?
Publications (open access):
Tompalski, P., Hermosilla, T., Baral, S.K., Wulder, M.A., White, J.C. 2025. National remote sensing-derived aboveground biomass yield curves for Canada. Forestry: An International Journal Of Forest Research. doi.org/10.1093/forestry/cpaf067
Tompalski, P., Wulder, M.A., White, J.C., Hermosilla, T., Riofrío, J., Kurz, W.A., 2024. Developing aboveground biomass yield curves for dominant boreal tree species from time series remote sensing data. Forest Ecology and Management 561, 121894. doi.org/10.1016/j.foreco.2024.121894
R package: https://ptompalski.github.io/RSYC
This presentation: https://ptompalski.github.io/RSYC_overview/
Remote Sensing-based Yield Curves | piotr.tompalski@nrcan-rncan.gc.ca